r/hyper3d_rodin

The new Unreal Engine 5.8 MCP genuinely feels like a huge step for AI-assisted game development.

It can understand the scene, work with assets already placed in the level, create Blueprints, organize objects, and help with gameplay logic directly inside Unreal Engine. This is not just “AI generating random code” anymore. It actually feels like a tool that understands the project context and can save a massive amount of time.

I was honestly impressed by the result here. Creating a playable 3D platformer level from scratch in only 72 hours feels kind of insane, especially for a solo developer workflow. It is still more like a prototype than a finished game, but the speed is really exciting.

Workflow:

• Concept generation The initial visual concept was created with NanoBanana 2.
• 3D asset generation Most of the environment assets were generated with Rodin Gen 2.5 / Hyper3D.
• Asset cleanup in Blender The assets were cleaned and prepared in Blender: pivot points were adjusted, textures were improved, and texture maps were packed into ORM maps to reduce file size and make the assets more game-friendly.
• Level assembly in Blender The main scene was assembled in Blender before being exported to Unreal Engine.
• Export to Unreal Engine 5.8 The level was then moved into UE 5.8 for gameplay setup, lighting, materials, and final scene polish.
• The main character was also generated with 3D Rodin Gen 2.5, then rigged for free in AccuRig and brought into Unreal Engine.
• Gameplay logic with Claude + MCP Claude AI was connected to Unreal through MCP and helped create the actual gameplay systems: collectible logic, cutscene logic, level interactions, and other Blueprint-based functionality.

Building this kind of playable prototype from one concept over a weekend is honestly wild.

Guide: https://www.youtube.com/watch?v=k9cbm5jSOxk

I wanted to test how far the current AI image-to-3D workflow can go for 3D printing.
First, I generated the character concept with ChatGPT, then converted it into a 3D model using an AI 3D generator.

After that, I cleaned up the model, split it into separate parts, and added simple joints/connectors in Maya to make the figure easier to assemble after printing.

Still not perfect, but honestly the result surprised me. For a test workflow, this feels really promising.

I drew a pretty complex illustration just to see if AI could really understand my style.
I tried it with Rodin Gen-2.5, and the result honestly surprised me. It reconstructed the lower vehicle structure much better than I expected, and the whole generation process was fast too.

My workflow was basically: sketch the idea, clean up the lines, add colors, upload the image, generate the model and textures, then bring everything into Nomad for final lighting and rendering.